President Tinubu says 126 million Nigerians now have NINs, highlighting progress in digital identity and security.

Oracle's growth signals the end of experimental AI and urgent need for enterprises to secure production infrastructure now.

Discover Oracle's record RPO growth, soaring cloud revenues, and AI leadership. Get key Q1 2026 earnings insights and future outlook.

Anthropic agreed to pay over $1.5 billion to settle a lawsuit brought by authors who say the company used their pirated books ...

AI systems are increasingly being integrated into safety- and mission-critical applications ranging from automotive to health care and industrial IoT, stepping up the need for training data that is ...

A screen shot from the Police Records Access Project database, which is now available to the public. The public can now search internal affairs documents and other police-misconduct records from ...

Welcome to The Athletic’s live coverage of NFL training camps. Our reporters are scattered across the league, providing the latest news, notes, happenings and more as preparations for the 2025 season ...

AI companies would be barred by federal law from using copyrighted material or personal data to train language models in new legislation introduced Monday by Sens. Josh Hawley, a Republican from ...

Oracle announced that AI innovators across the world are using Oracle Cloud Infrastructure (OCI) AI infrastructure and OCI Supercluster to train AI models and deploy AI inference and applications.

German defence company Hensoldt has completed a second measurement campaign to collect data for a testing and training database for artificial intelligence (AI) algorithms. The campaign is part of a ...

Artificial intelligence (AI) needs data and a lot of it. Gathering the necessary information is not always a challenge in today’s environment, with many public datasets available and so much data ...

We introduce a database of over 2,000 dynamic stress–strain curves and failure properties of 3D carbon nanostructures for real-time predictions of elastic and failure properties using machine learning ...